Instructions to use machinelearningzuu/queue_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use machinelearningzuu/queue_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="machinelearningzuu/queue_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("machinelearningzuu/queue_detection") model = AutoModelForObjectDetection.from_pretrained("machinelearningzuu/queue_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from machinelearningzuu/queue_detection: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/machinelearningzuu/queue_detection/resolve/35dd9418a7980df1069dff007b3ded9fe6f3d0cb/training_args.bin
- Command line
-
hf download hf://machinelearningzuu/queue_detection@35dd9418a7980df1069dff007b3ded9fe6f3d0cb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/machinelearningzuu/queue_detection/resolve/35dd9418a7980df1069dff007b3ded9fe6f3d0cb/training_args.bin
5.11 kB
- Xet hash:
- c77c0d5da2ba806a0e2087a3aa3cc33a42595cb0c93f2f37351625c363175984
- Size of remote file:
- 5.11 kB
- SHA256:
- c5c0c14e6b2da734f5f78c7c6dfeaa3d339147d3a25dd080a1cb45dda8a5b4fe
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